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Typescript MCP Roland Server
- typescript
1
GitHub Stars
typescript
Language
6 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"rolandtritsch-typescript-mcp-roland": {
"command": "node",
"args": [
"/path/to/typescript-mcp-roland/build/server.js"
]
}
}
}You expose information about Roland through a minimal MCP server that you can query from MCP-enabled AI assistants. It provides a focused tool called about-roland that returns biographical and professional information about Roland, enabling assistants to answer user questions consistently and quickly.
How to use
You connect an MCP-enabled client to your server and enable the about-roland tool. Once configured, your assistant can call about-roland to retrieve biographical and professional details about Roland and present them to you in a concise, structured way.
How to install
Prerequisites you need before installing the server are: Node.js (version 18 or higher recommended) and an MCP-enabled client.
Step 1: Clone the project and enter its directory.
Step 2: Install dependencies.
Step 3: Build the server.
Step 4: Update the serverHome path in src/server.ts to match your installation location, then rebuild.
Step 5: Add the MCP configuration to your client so it can start the server.
Configuration and usage details
The MCP server configuration for a local (stdio) runtime is shown below. It uses node to run the built server and points to the server bundle after building.
{
"mcpServers": {
"roland": {
"command": "node",
"args": ["/path/to/typescript-mcp-roland/build/server.js"]
}
}
}
Notes on usage and client configuration
To integrate with your MCP client, add the server configuration shown above to your MCP configuration file. With the server running, your AI assistant can access the about-roland tool.
Available tools
about-roland
Tool that returns biographical and professional information about Roland for AI assistant interfaces.